I have a big dataset containing logs/steps that the user performed on my webpage (for example: Clicking on a "Homepage" button, typing some text in the field, etc.) These steps are labelled against their respective action/class name (each set of steps belong to a specific class), what kind of ML algo can I apply on this kind of problem so that i can classify the steps to a respective activity/class?
Special NOTE: each of these "classes"/"activities" have multiple steps under them, and I don't know whether a simple classification algo such as LR or KNN would work....
example data: This is just one class data, and the data is arranged in this format:
{ CLass : [Title>>Header>>Action>>Input_Field , Title2>>Header2>>Action>>Input_Field]}"Create Change Order from Purchase Order": ["nan>>nan>>component_name>>nan", "nan>>nan>>Login To Cloud_Central>>nan", "nan>>nan>>Login and Get Credentials form Excel_Central>>nan", "nan>>nan>>Application_TypeByText>>User ID", "nan>>nan>>Application_TypeByText>>Password", "nan>>nan>>Application_Click>>Sign In", "nan>>nan>>Reset Global Variable>>nan", "nan>>nan>>Close All Browsers Central>>nan", "nan>>nan>>Close PDF And Excel Central>>nan"],I tried a DTW and pattern matching algo for matching an input sequence to the given json data.